What are the best practices for using Map and Reduce?

What are the best practices for using Map and Reduce?

When using Map and Reduce, it's important to keep your functions simple and focused. Each function should do one thing well.

Can you give me an example of a simple Map function?

Sure! A simple Map function could take an array of numbers and return an array of their squares. For example, map(x => x * x).

What about Reduce? How should I structure that?

For Reduce, you should ensure that your accumulator is initialized properly. A common pattern is to use reduce((acc, curr) => acc + curr, 0) to sum an array.

Are there any performance tips for using these functions?

Yes! Try to minimize the amount of data passed between Map and Reduce, and consider using parallel processing if your environment supports it.